{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5c24c543-4436-4dc2-b3d3-bfe4a7dbc24f",
   "metadata": {},
   "source": [
    "任务：\n",
    "1、查看数据有多少行，列\n",
    "2、合并数据表\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b5c74a39-4d1c-411b-b962-c7292141a117",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.rcParams['font.sans-serif']='SimHei'#设置中文显示\n",
    "%matplotlib inline\n",
    "#1、数据加载\n",
    "data1=pd.read_excel('meal_order_detail.xlsx',sheet_name='meal_order_detail1')\n",
    "data2=pd.read_excel('meal_order_detail.xlsx',sheet_name='meal_order_detail2')\n",
    "data3=pd.read_excel('meal_order_detail.xlsx',sheet_name='meal_order_detail3')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f892667d-035a-4e61-b1c9-233f14b5d1db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 10037 entries, 0 to 3610\n",
      "Data columns (total 11 columns):\n",
      " #   Column            Non-Null Count  Dtype         \n",
      "---  ------            --------------  -----         \n",
      " 0   detail_id         10037 non-null  int64         \n",
      " 1   order_id          10037 non-null  int64         \n",
      " 2   dishes_id         10037 non-null  int64         \n",
      " 3   dishes_name       10037 non-null  object        \n",
      " 4   itemis_add        10037 non-null  int64         \n",
      " 5   counts            10037 non-null  int64         \n",
      " 6   amounts           10037 non-null  int64         \n",
      " 7   place_order_time  10037 non-null  datetime64[ns]\n",
      " 8   add_inprice       10037 non-null  int64         \n",
      " 9   picture_file      10037 non-null  object        \n",
      " 10  emp_id            10037 non-null  int64         \n",
      "dtypes: datetime64[ns](1), int64(8), object(2)\n",
      "memory usage: 941.0+ KB\n"
     ]
    }
   ],
   "source": [
    "#2、数据预处理（合并，删除na列）、数据分析\n",
    "#2.1 合并数据表，并命名data\n",
    "data=pd.concat([data1,data2,data3],axis=0) #按行拼接\n",
    "#data.info()\n",
    "\n",
    "#2.2 删除空列\n",
    "data.dropna(axis=1,inplace=True) #在原data修改\n",
    "data.info()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f96ed78",
   "metadata": {},
   "source": [
    "数据分析\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5703b804",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "44.82"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#统计菜品平均价格\n",
    "round(data['amounts'].mean(),2)   #round()返回保留两位小数,  pandas自带函数\n",
    "round(np.mean(data['amounts']),2) #使用numpy自带函数\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b9bf5661",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dishes_name\n",
       "白饭/大碗        323\n",
       "凉拌菠菜         269\n",
       "谷稻小庄         239\n",
       "麻辣小龙虾        216\n",
       "辣炒鱿鱼         189\n",
       "芝士烩波士顿龙虾     188\n",
       "五色糯米饭(七色)    187\n",
       "白饭/小碗        186\n",
       "香酥两吃大虾       178\n",
       "焖猪手          173\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#统计什么菜最受欢迎\n",
    "popular_most=data['dishes_name'].value_counts()[:10]#计数，取前十名\n",
    "popular_most"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "1e2d971f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 323\n",
      "1 269\n",
      "2 239\n",
      "3 216\n",
      "4 189\n",
      "5 188\n",
      "6 187\n",
      "7 186\n",
      "8 178\n",
      "9 173\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3、数据可视化\n",
    "#3.1可视化最受欢迎的菜\n",
    "popular_most.plot(kind='line')#折线图'line'\n",
    "popular_most.plot(kind='bar')#柱状图'bar'\n",
    "#aim:在每个柱状图上方加上数字\n",
    "for x,y in enumerate(popular_most):\n",
    "    print(x,y)\n",
    "    plt.text(x,y,y,ha='center')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "103b7283",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "order_id\n",
       "398     36\n",
       "1295    29\n",
       "1078    27\n",
       "465     27\n",
       "582     27\n",
       "1311    26\n",
       "1033    25\n",
       "392     24\n",
       "1318    24\n",
       "672     24\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#3.2哪份订单点菜的种类最多,并可视化\n",
    "order_most=data['order_id'].value_counts()[:10]\n",
    "order_most"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "556c48ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '点菜种类')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order_most.plot(kind='line')\n",
    "order_most.plot(kind='bar')\n",
    "plt.title('订单点菜最多前十名')\n",
    "plt.xlabel('订单号')\n",
    "plt.ylabel('点菜种类')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "357d1ed8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '点菜数量')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3.3哪份订单点菜的数量最多,并可视化前十\n",
    "#按照order_id分组,降序排列，取前十\n",
    "datagroup=data[['order_id','counts']].groupby(by='order_id').sum()\n",
    "datagroup1=datagroup.sort_values(by='counts',ascending=False)[:10]#sort_values()降序排列\n",
    "datagroup1.plot(kind='bar')\n",
    "plt.title('订单ID点菜数量TOP10')\n",
    "plt.xlabel('订单id')\n",
    "plt.ylabel('点菜数量')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "e15ac82b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='order_id'>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3.4哪份订单花费最多,并可视化前十\n",
    "data['sum_amounts']=data['counts']*data['amounts']#添加一列计算每份菜的总钱数\n",
    "dataGroup=data[['order_id','counts','amounts','sum_amounts']].groupby(by='order_id').sum()\n",
    "datagroup2=dataGroup.sort_values(by='sum_amounts',ascending=False)[:10]\n",
    "datagroup2['sum_amounts'].plot(kind='bar')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "fc0c2536",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='hour'>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3.5一天当中什么时间段点菜数量比较集中  以小时计算\n",
    "#思路：先添加一个列hourcount,值都为1；提取时间列中的小时；以hour分组,计数\n",
    "data['hourcount']=1 #新列，用作计时器\n",
    "data['time']=pd.to_datetime(data['place_order_time'])#将时间转换为日期类型储存\n",
    "data['hour']=data['time'].map(lambda x:x.hour)\n",
    "group=data.groupby(by='hour').count()['hourcount']\n",
    "group.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "12b80347",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day'>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3.5哪一天的点菜数量最多\n",
    "data['daycount']=1#起到计时器的作用\n",
    "data['day']=data['time'].map(lambda x:x.day)\n",
    "data.groupby(by='day').count()['daycount'].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "aa8ab217",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '点菜数量')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Mf/3rXzV69Gi99dZbGjZsmAoLC722CQ8PV3h4uNc+n376qTZs2KAhQ4Zo6tSp6t279wWfonI4HHr33XflcDisd+0EBQXps88+U/v27ctNrP7888/1xhtv/OR8K6AqI+wAVdzu3bu1Z8+eCr9sfvxenLPv2JGktLQ0paWlWet5eXm68cYbdd111ykqKkoFBQUqLCzUt99+q3feeee8/2p/++23tWXLFnXq1EmrV6/WggULdOutt1pzc26//XaNHTtWy5YtO+/PFERERJR7u/Du3bsVGBio+vXrW21Tpkwpdxvsyy+/VNeuXRUQEHDeCbfSmUC1Y8cOHTx40CvsHDt2TPfee6+GDx+udu3aKTs723pj8NnRjaNHj+rbb7+Vx+ORx+OxgtOPr+Ubb7yhxMRExcfH69SpU3rzzTd15513SpKSk5N/8WTeGjVq6KOPPrLmDxUUFCgsLOy82+/Zs0e33HKLUlJSNHfuXBUUFKhLly5atGiRbrnllvPu17p1a7344os6evSoHn300XIhsri4WIMGDdI999yjrl27VnpSN1BlGQBVWqtWrUyPHj2MMcZMmzbNTJ482RhjTElJibnxxhvNihUrjDHGHD9+3DRu3NisXbu23DH2799v2rRpY3r27GmKi4vN6NGjzd13322Ki4tNnz59TP369c1//vOfCj+/tLTUbNy40Tz++OOmTp06RpL5wx/+YD744ANjjDG5ubkmISHBBAQEmE8++aTCYzz00EOmXr16plGjRtZSs2ZNU716da+2uLg4k5iY+Iuu1/XXX28eeeQRr7aPP/7YFBUVmZkzZ5rq1aubkJAQExYWZkJDQ40kU6NGDRMWFmZCQkJMcHCwcTqd5Y6bnZ1tgoODzaxZs4wxxmzdutUEBwebZ555xhw+fNgEBASYRYsWWdtv377dSDI5OTlWm7+/v1myZInJyckxOTk5ZsyYMaZjx47nPZc6deqYlStXVti3bNkyU7duXdOtWzdTXFxsjDHG7Xabm2++2UgyvXr1Ml988UWF+7711lvGz8/P3HvvvebUqVPWNTr7leByucxf//pX4+fnZx577DFz+vTp89YIXAkIO0AVdvYL6OwX3uOPP25q1aplfbnddttt5pprrrG+jHr16mWuvvpqU1JSYh1j0aJFpmbNmubWW2+19jsbdow5E5ruvfdeI8nceOONZsmSJebEiRNedbhcLjN27FgTGRlpli5dasaPH2/+9re/mY0bN5qGDRuaW2+91dx1110mJCTErFq1qtx5/PDDDyYvL894PB6rbe7cuebGG2/02q6srMwUFBT87OtVUlJiIiIizIsvvlip7XNycowk8/HHH19wux9++MG0aNHCjBw50qt93rx5pmnTpuYvf/mLqV27tiksLLT6tm7daiSZffv2WW0Oh8NI8lrat29f4WceP37cOBwOk5GRYbUVFhaa9PR006lTJ+N0Os2ECRO8/qyNOXMNn3jiCRMQEGAkmfj4eK8/k5kzZ5pq1apZofmsdevWmR//+3fatGnG4XCY5ORk43a7L3iNgKqMsANUYZ06dTJt27a11r/99lvjcDhMenq6McaYzMxM43A4zOLFi40xxnz99dfG39/fTJkyxWzatMm0bNnSBAQEmEmTJnkdd+TIkWbw4MFebW+++aZp0KCBqVu3rvnyyy+NMcZs3LjRDB482ISFhZl+/fqZ/fv3G2OMOXbsmBk0aJCpVq2aGTt2rDl9+rQpKSkxt912m3E4HGbq1KnWcVu0aGFq1qzpNYLTqFEjU79+fRMTE1Ou/X/+539MeHi4ee+99yp9ncaOHWuGDRtmrr/+euNwOExWVpZX/4YNG0xGRobZsWOH2blzp7WsWbPGSDLp6ele7ZmZmWbTpk3WyMi7775revToUS5YGGPMrFmzjCTz0ksvWW0rV640MTExJjg42ApApaWlRpJZt26dtd0//vEPc/3111vrZWVl5uGHHzbDhw83TZs2NZGRkaaoqMjqX7t2ralWrZq55ZZbzFdffXXBa5KdnW3uuece06JFC+sY33zzjYmLizNz5861tsvMzDQjR4407dq1M2FhYeWOM3/+fDNq1KgLfhZQ1RF2gCqqtLTUvPDCC2b16tVe7c8884w5ePCgtf7iiy+aY8eOWeuTJk0yn376qTHGmClTppgdO3aUO/aQIUPM7bffXq69uLjY7Ny501o/fPiwGT16tMnMzPTazuPxmCeffNJs3bq13DHmz59fbmTocpswYYJp1aqVuf322yscWapdu7ZxOBwmNDTUhIeH/+QSFhZmgoODTZcuXX7ys0tLS82CBQu82vLz882YMWPMf//7X6utpKTEjB492uzevdtq++KLL8zrr7/ute/AgQPNVVddZQYNGuT1Z3HW0aNHf7Kmc507mmaM8QpPxpz5M4+Pjze9evUyS5cuvahjA1cKhzEVvEscAGykoKBAwcHBXo9rA/jtIOwAAABb4585AADA1gg7AADA1gg7AADA1niDss78Nszhw4cVGhpa7vd0AABA1WSM0cmTJxUbG3vBBxAIO/r/PxwIAACuPAcOHPD66ZkfI+xICg0NlXTmYl3od2gAAEDV4XK5FBcXZ32Pnw9hR7JuXYWFhRF2AAC4wvzUFBQmKAMAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFsj7AAAAFtz+roAAAAupYZj3/N1CZZ9k3v7ugSIkR0AAGBzhB0AAGBrPg07J06c0Geffaa8vDxflgEAAGzMZ2Fn6dKlatiwoYYMGaL69etr6dKlkqTMzEwlJiYqMjJSqampMsZY+2zYsEHNmjVTTEyMpk+f7nW8ZcuWqUGDBoqNjdWSJUt+1XMBAABVl0/CTn5+voYPH66PPvpI27dv1+zZs5Wamiq3262+ffuqbdu22rx5s7KysrRw4UJJUm5urpKTk5WSkqKMjAylp6dr3bp1ks4EpP79+2v8+PFatWqVJkyYoOzsbF+cGgAAqGJ8EnZcLpdmzpypVq1aSZJ+97vf6fjx41qxYoXy8/M1ffp0NWrUSGlpaZo/f74kKT09XbGxsRo/frwSEhI0YcIEq2/evHnq3LmzhgwZopYtW2rkyJFatGiRL04NAABUMT4JO3Fxcerfv78kqbS0VDNmzNDNN9+sbdu2KSkpScHBwZKkVq1aKSsrS5K0bds2de7cWQ6HQ5LUrl07bdmyxerr0qWLdfxz+yridrvlcrm8FgAAYE8+naC8bds21alTRytXrtSzzz4rl8ul+Ph4q9/hcMjf3195eXnl+sLCwnT48GFJumBfRSZNmqTw8HBriYuLuwxnBwAAqgKfhp1WrVpp9erVSkhI0JAhQ+R0OhUYGOi1TfXq1VVYWFiu72y7pAv2VWTcuHHKz8+3lgMHDlziMwMAAFWFT8OOw+FQ27Zt9corr2j58uWKiopSbm6u1zYnT55UQEBAub6z7ZIu2FeRwMBAhYWFeS0AAMCefPJzERs2bNC7776rp556SpIUEBAgh8OhZs2aae7cudZ2OTk5crvdioqKUmJiohYvXmz1bd26VfXq1ZMkJSYmKiMjQ3fffXe5PgAAcMZv9ac0fDKy06RJE82ZM0dz5szRgQMH9PDDD6tbt27q1auXXC6XFixYIElKS0tT165d5e/vr+TkZG3cuFFr1qxRaWmppk6dqu7du0uS+vXrp9dee03bt29XQUGBnn32WasPAAD8tvkk7NStW1fLli3TM888oxYtWqiwsFCvvvqqnE6n5s2bp5EjRyomJkZvv/22pkyZIkmKiYnRjBkz1KtXL9WuXVvZ2dl69NFHJUmtW7fW6NGjdd1116levXry9/fX8OHDfXFqAACginGYc19RXEUcPXpUW7ZsUVJSkqKjo736cnJytGvXLrVv314hISFefVlZWTp06JA6dux4wTk7P+ZyuRQeHq78/Hzm7wDAFe63equmMux2bSr7/e2TOTs/pU6dOurdu+KLEB8f7/WY+bmaN2+u5s2bX87SAADAFYZfPQcAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALZG2AEAALbms7Dz9ttv66qrrpLT6VSbNm20c+dOSdL9998vh8NhLY0bN7b2yczMVGJioiIjI5WamipjjNW3YcMGNWvWTDExMZo+ffqvfj4AAKBq8knY2bNnj+666y5NnjxZhw4dUpMmTTRkyBBJ0ubNm/Xee+8pLy9PeXl52rp1qyTJ7Xarb9++atu2rTZv3qysrCwtXLhQkpSbm6vk5GSlpKQoIyND6enpWrdunS9ODQAAVDE+CTs7d+7U5MmTddttt6l27dq67777tHXrVpWVlWnHjh3q0KGDIiIiFBERodDQUEnSihUrlJ+fr+nTp6tRo0ZKS0vT/PnzJUnp6emKjY3V+PHjlZCQoAkTJlh9AADgt80nYadPnz4aOnSotZ6dna2EhARt375dHo9Hbdq0UVBQkHr06KH9+/dLkrZt26akpCQFBwdLklq1aqWsrCyrr3PnznI4HJKkdu3aacuWLb/yWQEAgKrI5xOUS0pKNG3aNA0bNkxZWVlq2rSpFi1apK+++kpOp9MKRS6XS/Hx8dZ+DodD/v7+ysvLK9cXFhamw4cPn/cz3W63XC6X1wIAAOzJ6esCHnvsMdWoUUNDhgxRtWrV1L9/f6vv+eefV3x8vFwul5xOpwIDA732rV69ugoLC8v1nW0/n0mTJunxxx+/9CcDAACqHJ+O7Kxdu1azZ8/W4sWLVa1atXL9tWrVksfj0ZEjRxQVFaXc3Fyv/pMnTyogIKBc39n28xk3bpzy8/Ot5cCBA5fupAAAQJXis7CTk5OjlJQUzZ49W82bN5ckpaamavHixdY2GRkZ8vPzU1xcnBITE5WRkeG1v9vtVlRUVLm+rVu3ql69euf97MDAQIWFhXktAADAnnwSdoqKitSnTx/ddNNNuvnmm1VQUKCCggK1atVKjz76qD788EOtXr1aw4YN05133qng4GB16NBBLpdLCxYskCSlpaWpa9eu8vf3V3JysjZu3Kg1a9aotLRUU6dOVffu3X1xagAAoIrxyZyd1atXKysrS1lZWZo7d67VnpOTo7/+9a/q16+f/P39NWDAAKWlpZ0p1OnUvHnzlJKSotTUVPn5+Wn9+vWSpJiYGM2YMUO9evVSSEiIIiIirHfwAACA3zaHOfc1xFeAo0ePasuWLUpKSlJ0dLRXX05Ojnbt2qX27dsrJCSk0sd0uVwKDw9Xfn4+t7QA4ArXcOx7vi7Bsm9yb1+X4MVu16ay398+fxrrYtWpU0e9e1d8geLj470eQQcAAPD5e3YAAAAuJ8IOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNcIOAACwNZ+FnbfffltXXXWVnE6n2rRpo507d0qSMjMzlZiYqMjISKWmpsoYY+2zYcMGNWvWTDExMZo+fbrX8ZYtW6YGDRooNjZWS5Ys+VXPBQAAVF0+CTt79uzRXXfdpcmTJ+vQoUNq0qSJhgwZIrfbrb59+6pt27bavHmzsrKytHDhQklSbm6ukpOTlZKSooyMDKWnp2vdunWSzgSk/v37a/z48Vq1apUmTJig7OxsX5waAACoYnwSdnbu3KnJkyfrtttuU+3atXXfffdp69atWrFihfLz8zV9+nQ1atRIaWlpmj9/viQpPT1dsbGxGj9+vBISEjRhwgSrb968eercubOGDBmili1bauTIkVq0aJEvTg0AAFQxPgk7ffr00dChQ6317OxsJSQkaNu2bUpKSlJwcLAkqVWrVsrKypIkbdu2TZ07d5bD4ZAktWvXTlu2bLH6unTpYh3v3L6KuN1uuVwurwUAANiTzycol5SUaNq0aRo2bJhcLpfi4+OtPofDIX9/f+Xl5ZXrCwsL0+HDhyXpgn0VmTRpksLDw60lLi7uMpwZAACoCnwedh577DHVqFFDQ4YMkdPpVGBgoFd/9erVVVhYWK7vbLukC/ZVZNy4ccrPz7eWAwcOXOKzAgAAVYXTlx++du1azZ49W59++qmqVaumqKgoZWZmem1z8uRJBQQEKCoqSrm5ueXaJV2wryKBgYHlQhUAALAnn43s5OTkKCUlRbNnz1bz5s0lSYmJicrIyPDaxu12Kyoqqlzf1q1bVa9evQr3O7cPAAD8tvkk7BQVFalPnz666aabdPPNN6ugoEAFBQVq3769XC6XFixYIElKS0tT165d5e/vr+TkZG3cuFFr1qxRaWmppk6dqu7du0uS+vXrp9dee03bt29XQUGBnn32WasPAAD8tvnkNtbq1auVlZWlrKwszZ0712rPycnRvHnzlJKSotTUVPn5+Wn9+vWSpJiYGM2YMUO9evVSSEiIIiIirHfwtG7dWqNHj9Z1112n6tWrKyEhQcOHD/fBmQEAgKrGYc59RXEVcfToUW3ZskVJSUmKjo726svJydGuXbvUvn17hYSEePVlZWXp0KFD6tix4wXn7PyYy+VSeHi48vPzFRYWdknOAQDgGw3HvufrEiz7Jvf2dQle7HZtKvv97dMJyudTp04d9e5d8UWIj4/3esz8XM2bN7fm/wAAAEhV4NFzAACAy4mwAwAAbI2wAwAAbI2wAwAAbI2wAwAAbI2wAwAAbI2wAwAAbI2wAwAAbI2wAwAAbI2wAwAAbI2wAwAAbO1nh52///3v5+2bP3/+zz0sAADAJfWzw86GDRvKtWVkZKisrExz5879RUUBAABcKpX+1fOGDRsqKChIZWVlGjFihCIjIzVr1iz9/e9/l7+/vzp16qQjR47oo48+Umho6OWsGQAAoNIqPbJTt25dhYWF6amnnlJ+fr6qVasmY4zmzJmjq6++Wtdcc40CAgIUHBx8OesFAAC4KJUOO9WrV1dgYKBiY2O92kNDQ+V0OuV0VnqQCAAA4Ffzi5/GcrvdMsaorKxMHo9HhYWFMsZcitoAAAB+sV80HGOM0T333KPi4mJt375dZWVlatCggfz8eKIdAABUDb8olTgcDr366qv63e9+pwcffFBt27ZVbm6uWrVqdanqAwAA+EUuyRCMw+G4FIcBAAC45Cp9G+vEiRPyeDz68ssvvdr37t2rU6dOqaio6JIXBwAA8EtVemQnIiJCdevW1fLly9WgQQMVFhYqLCxML730kkpLS/XDDz+opKRE33///eWsFwAA4KJUemRn3bp1XuuzZs3S4MGDNXjwYKvts88+U0hIiE6cOHGp6gMAAPhFfvbTWDfeeGO5tuuvv16S9MQTT/z8igAAAC6hnz1B+dlnnz1vX8+ePX/uYQEAAC6piw47paWlevLJJy+4zbJly/TDDz/87KIAAAAulYu+jeXv768pU6bo2LFjio2NVZMmTXTDDTeoTp06kqTs7Gzdc889WrJkiXr06HHJCwYAALgYFz2y4+fnp6CgIDVv3lyFhYVavny5fv/73+t3v/udZs2apa5du+rvf/87QQcAAFQJlR7ZWbVqlRo1aqTGjRsrJCREw4YNs/qOHTumO+64Q6NHj1bnzp01duzYy1IsAADAxar0yM5LL72ktm3bqkGDBjpx4oRefvllPfLII+rUqZOuv/56tWvXTjk5OQoICNDUqVMvZ80AAACVVumRneXLl8vj8Wj9+vVaunSpJk2apH379umhhx7S+vXrre0WL16sVq1aqW/fvmrWrNnlqBkAAKDSKj2y889//lNpaWnavXu33G63tm7dqjvuuEMBAQEaOXKkPv/8cxljNHDgQI0ZM0abNm26nHUDAABUSqVHdu666y7NmzdPO3fuVEBAgG699Vb96U9/0oMPPqjw8HBt2rRJxhhdddVVeuCBBy5jyQAAAJVX6ZGdp59+WoWFhTp8+LC++OIL1axZU99//71OnTql6Ohoffnll7rqqqu0bds2fh8LAABUGZUOO5GRkYqIiFBISIi2bt2qvLw8RUdHq02bNjp58qT27t2rgwcPavTo0YzsAACAKqPSYWfkyJH64osv1LRpU/3xj3/Unj17dMMNN+jDDz9UcXGxevXqpcDAQI0aNUrZ2dnKzs6+nHUDAABUSqXDzrx583TDDTfoqquuUv369bV06VINHDhQNWrUUFhYmDIzM/Xcc89JkgYOHKi33nrrshUNAABQWZWeoJyamipJysvLU2Jioho2bKiXXnpJERERmjZtmpxOp1q1aiVJ6t+/vyIiIi5LwQAAABfjon4b6+TJk4qMjFRkZKQk6Y9//KMkqVevXtY2ZWVlio6OvoQlAgAA/HyVvo1VUlKievXqlWsvLS1VzZo1rfWUlBTt2bPn0lQHAADwC1U67AQEBCgwMFDHjh3TAw88oO3bt0uSqlWrpuDgYEnS9u3b9dZbb6m4uPjyVAsAAHCRLupXzx0Oh06cOKEtW7Zo4MCBGjRokPLz81WtWjVJ0oQJEzR48GC1aNHishQLAABwsSoVdjwejz799FOVlZXp8OHDKi4u1ieffKKysjIdOnRIxhgtXrxYWVlZmjlz5mUuGQAAoPIqNUG5sLBQd999twoKCjRnzhwVFRUpJCRE6enpkqRTp05p4sSJWr16tUJCQi5rwQAAABejUmEnJCREO3bsUK1atbR48WK1bNlSx48f10cffaRq1arJ4/Fo7Nix+vrrr7Vr1y6VlJQoOTn5ctcOAADwky5qzs65unfvrkWLFunFF1+UJL377rt64YUX9Pzzz1svF7yQ77//XvHx8dq3b5/Vdv/998vhcFhL48aNrb7MzEwlJiYqMjJSqampMsZYfRs2bFCzZs0UExOj6dOn/9xTAgAANlTpsPP888/L7Xbr3//+t/z9/bVy5UotX75c7777rjwejxo2bKi33npL77zzjlavXn3BY33//ffq06ePV9CRpM2bN+u9995TXl6e8vLytHXrVkmS2+1W37591bZtW23evFlZWVlauHChJCk3N1fJyclKSUlRRkaG0tPTtW7duou7CgAAwLYqHXbWrl2rkpISrVmzRkFBQQoICNChQ4fkdrsVEhKiAwcOaOTIkZU61u2336477rjDq62srEw7duxQhw4dFBERoYiICIWGhkqSVqxYofz8fE2fPl2NGjVSWlqa5s+fL0lKT09XbGysxo8fr4SEBE2YMMHqAwAAqHTYWbZsmUJDQ/Xcc88pICBA//nPf5SYmKi1a9fK6XTq9ddf165duyp1C2vu3Lm6//77vdq2b98uj8ejNm3aKCgoSD169ND+/fslSdu2bVNSUpL1Pp9WrVopKyvL6uvcubMcDockqV27dtqyZcsFP9/tdsvlcnktAADAnn7WnB0/Pz9lZmbqX//6l3r27CmPxyM/Pz/961//0uOPP65du3ZdcP/4+PhybVlZWWratKkWLVqkr776Sk6nU0OHDpUkuVwur30cDof8/f2Vl5dXri8sLEyHDx++4OdPmjRJ4eHh1hIXF3cxpw8AAK4glf5trJKSEhUVFUmShg8frj59+igoKEinT59WQUGBJKlOnToaPny45syZc9EThfv376/+/ftb688//7zi4+PlcrnkdDoVGBjotX316tVVWFhYru9s+4WMGzdODz74oLXucrkIPAAA2FSlw46fn59mzZolSbr11lu9+tLS0qz/vu+++1SjRo1fXFitWrXk8Xh05MgRRUVFKTMz06v/5MmTCggIUFRUlHJzc8u1X0hgYGC58AQAAOyp0rex/P39vR73Prf97CjJ8ePHNW7cOA0cOPCiC0lNTdXixYut9YyMDPn5+SkuLk6JiYnKyMiw+nJycuR2uxUVFVWub+vWrRX+YCkAAPhtqnTYcTgcuu+++6z1999/X2vXrtW6deu0YsUK5ebm6uqrr1Z+fr7XSE9ltW7dWo8++qg+/PBDrV69WsOGDdOdd96p4OBgdejQQS6XSwsWLJB0ZiSpa9eu8vf3V3JysjZu3Kg1a9aotLRUU6dOVffu3S/68wEAgD1V+jaWJAUFBVn/nZycrObNm8sYo+zsbOux9NatW/+sQgYMGKAdO3aoX79+8vf314ABA6zQ5HQ6NW/ePKWkpCg1NVV+fn5av369JCkmJkYzZsxQr169FBISooiICOsdPAAAAA5T0b2p84iKitIPP/wgSYqMjFReXp4kqWbNmta8mYyMDBUVFalLly6XvNijR49qy5YtSkpKUnR0tFdfTk6Odu3apfbt21/073O5XC6Fh4crPz9fYWFhl7JkAMCvrOHY93xdgmXf5N6+LsGL3a5NZb+/L+rR83Nz0dn32pz974KCAt18883q2bOn9ebjS61OnTrq3bt3uaAjnXmcvWfPnvwQKQAA8FLp21jZ2dkyxignJ0cej6dcf0hIiDp37qz58+crKirqkhYJAADwc1U67DRr1kyS1KhRI0lSREREuW3uv/9+lZWV6fjx4xWOvgAAAPzaKn0bq6ioSB6Px1p+PNXH4/FowoQJiouL05gxYy55oQAAAD9HpUd2fvwSvnPn7EhnXjro7++vxYsXq1OnTpekOAAAgF/qoh49P9fJkyfVpUsXGWOUn5+vsrIyjRkzhgnCAACgSvnZYWfGjBmqVq2a/Pz81K9fP61YsUKDBg3SqFGj9MADDygyMvJS1gkAAPCz/OywM3LkSK91j8ejhQsXavr06fr444+1du3aX1wcAADAL/Wzw86P+fn5KTk5WcnJyV4/zAkAAOBLF/VSwcqqWbPm5TgsAADARbssYQcAAKCqIOwAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABbI+wAAABb82nY+f777xUfH699+/ZZbZmZmUpMTFRkZKRSU1NljLH6NmzYoGbNmikmJkbTp0/3OtayZcvUoEEDxcbGasmSJb/WKQAAgCrOZ2Hn+++/V58+fbyCjtvtVt++fdW2bVtt3rxZWVlZWrhwoSQpNzdXycnJSklJUUZGhtLT07Vu3TpJZwJS//79NX78eK1atUoTJkxQdna2D84KAABUNT4LO7fffrvuuOMOr7YVK1YoPz9f06dPV6NGjZSWlqb58+dLktLT0xUbG6vx48crISFBEyZMsPrmzZunzp07a8iQIWrZsqVGjhypRYsW/ernBAAAqh6fhZ25c+fq/vvv92rbtm2bkpKSFBwcLElq1aqVsrKyrL7OnTvL4XBIktq1a6ctW7ZYfV26dLGOc24fAAD4bXP66oPj4+PLtblcLq92h8Mhf39/5eXlyeVyqXnz5lZfWFiYDh8+XOF+5/ZVxO12y+12e30uAACwpyr1NJbT6VRgYKBXW/Xq1VVYWFiu72x7Rfud21eRSZMmKTw83Fri4uIu8ZkAAICqokqFnaioKOXm5nq1nTx5UgEBAeX6zrZXtN+5fRUZN26c8vPzreXAgQOX+EwAAEBVUaXCTmJiojIyMqz1nJwcud1uRUVFlevbunWr6tWrV+F+5/ZVJDAwUGFhYV4LAACwpyoVdjp06CCXy6UFCxZIktLS0tS1a1f5+/srOTlZGzdu1Jo1a1RaWqqpU6eqe/fukqR+/frptdde0/bt21VQUKBnn33W6gMAAL9tPpugXBGn06l58+YpJSVFqamp8vPz0/r16yVJMTExmjFjhnr16qWQkBBFRERY7+Bp3bq1Ro8ereuuu07Vq1dXQkKChg8f7rsTAQAAVYbPw865b0iWpOTkZO3Zs0dbtmxRUlKSoqOjrb5hw4ape/fu2rVrl9q3b6+QkBCr75///Kf69++vQ4cOqWPHjhecswMAAH47fB52KlKnTh317t27wr74+PgKH1uXpObNm3s9ng4AAFCl5uwAAABcaoQdAABga1XyNhbwW9Jw7Hu+LsHLvskV30IGgCsVIzsAAMDWCDsAAMDWCDsAAMDWmLNzCTH3AgCAqoeRHQAAYGuEHQAAYGuEHQAAYGuEHQAAYGuEHQAAYGuEHQAAYGuEHQAAYGuEHQAAYGuEHQAAYGu8QRkArkBV6Y3tvK0dVR0jOwAAwNYIOwAAwNYIOwAAwNYIOwAAwNYIOwAAwNYIOwAAwNYIOwAAwNZ4zw5+FVXpnSAS7wUBgN8SRnYAAICtEXYAAICtEXYAAICtEXYAAICtEXYAAICt8TQWgCqrKj3FxxN8wJWLkR0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrhB0AAGBrVS7s3H///XI4HNbSuHFjSVJmZqYSExMVGRmp1NRUGWOsfTZs2KBmzZopJiZG06dP91XpAACgCqpyYWfz5s167733lJeXp7y8PG3dulVut1t9+/ZV27ZttXnzZmVlZWnhwoWSpNzcXCUnJyslJUUZGRlKT0/XunXrfHsSAACgyqhSYaesrEw7duxQhw4dFBERoYiICIWGhmrFihXKz8/X9OnT1ahRI6WlpWn+/PmSpPT0dMXGxmr8+PFKSEjQhAkTrD4AAIAqFXa2b98uj8ejNm3aKCgoSD169ND+/fu1bds2JSUlKTg4WJLUqlUrZWVlSZK2bdumzp07y+FwSJLatWunLVu2+OwcAABA1VKlwk5WVpaaNm2qRYsW6auvvpLT6dTQoUPlcrkUHx9vbedwOOTv76+8vLxyfWFhYTp8+PAFP8ftdsvlcnktAADAnqpU2Onfv782b96s3//+90pISNDzzz+vDz74QB6PR4GBgV7bVq9eXYWFhXI6nV59Z9svZNKkSQoPD7eWuLi4y3I+AADA96pU2PmxWrVqyePxqE6dOsrNzfXqO3nypAICAhQVFeXVd7b9QsaNG6f8/HxrOXDgwGWpHwAA+F6VCjupqalavHixtZ6RkSE/Pz+1bNlSGRkZVntOTo7cbreioqKUmJjo1bd161bVq1fvgp8TGBiosLAwrwUAANhTlQo7rVu31qOPPqoPP/xQq1ev1rBhw3TnnXeqW7ducrlcWrBggSQpLS1NXbt2lb+/v5KTk7Vx40atWbNGpaWlmjp1qrp37+7jMwEAAFWF09cFnGvAgAHasWOH+vXrJ39/fw0YMEBpaWlyOp2aN2+eUlJSlJqaKj8/P61fv16SFBMToxkzZqhXr14KCQlRRESE9Q4eAACAKhV2pDOThydNmlSuPTk5WXv27NGWLVuUlJSk6Ohoq2/YsGHq3r27du3apfbt2yskJOTXLBkAAFRhVS7sXEidOnXUu3fvCvvi4+O9HkEHAACQqticHQAAgEuNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGyNsAMAAGzNVmEnMzNTiYmJioyMVGpqqowxvi4JAAD4mG3CjtvtVt++fdW2bVtt3rxZWVlZWrhwoa/LAgAAPmabsLNixQrl5+dr+vTpatSokdLS0jR//nxflwUAAHzM6esCLpVt27YpKSlJwcHBkqRWrVopKyurwm3dbrfcbre1np+fL0lyuVy/qAaPu/AX7X+p/dLzuZS4NufHtTm/qnRtqtJ1kbg2F8K1OT+7XZuzx/ipaSsOY5OJLWPGjFFxcbFmz55ttdWsWVNff/21IiMjvbadOHGiHn/88V+7RAAAcBkcOHBA9evXP2+/bUZ2nE6nAgMDvdqqV6+uwsLCcmFn3LhxevDBB611j8ejH374QdHR0XI4HL9KvefjcrkUFxenAwcOKCwszKe1VDVcm/Pj2pwf1+b8uDYV47qcX1W7NsYYnTx5UrGxsRfczjZhJyoqSpmZmV5tJ0+eVEBAQLltAwMDywWjiIiIy1neRQsLC6sSf5GqIq7N+XFtzo9rc35cm4pxXc6vKl2b8PDwn9zGNhOUExMTlZGRYa3n5OTI7XYrKirKh1UBAABfs03Y6dChg1wulxYsWCBJSktLU9euXeXv7+/jygAAgC/Z5jaW0+nUvHnzlJKSotTUVPn5+Wn9+vW+LuuiBQYG6rHHHit3mw1cmwvh2pwf1+b8uDYV47qc35V6bWzzNNZZR48e1ZYtW5SUlKTo6GhflwMAAHzMdmEHAADgXLaZswMAAFARwg4AALA1wg4AALA1wk4Vkp+fryNHjuj48eM/+TsfwPns37/f1yVUKS6XSwUFBb4uo8oaOXKkfvjhB1+XUaUUFBRo9+7dKi4u9nUpVYrb7da8efM0duxYzZo1S4cOHfJ1SZVG2PGxV155Re3bt1d0dLSaNGmi66+/Xo0bN1ZISIhuuukm7dq1y9clogrJzs5W+/btFRISomuvvVZz5szR6dOnrf5Tp04pPj7ehxX6zptvvqn4+HiFh4frrrvuksvl0q233qrIyEhFRkaqT58+On78uK/L9IlXX331vMvChQu1cOFCvfrqq74u0yeaNGmiU6dOSTrz+0o9e/ZURESEmjZtqtDQUA0ZMkRFRUU+rtL3SktL1aFDB02fPl379u3T4sWL1aRJE73//vu+Lq1SCDs+9Pe//13Lli3T7Nmzdfz4cX333Xfav3+/8vLylJmZqVq1aqlTp07Ky8vzdamoIlJSUhQbG6t3331X9957r55++mklJiYqOzvb2ua3OCp44sQJDR48WBMnTtQnn3wih8OhZs2aKTc3V3v27NG+ffsUExOjESNG+LpUn1iyZIkGDx6syZMna/369Vq3bp21lJaWKiMj44p8L9ml8M0331j/YBg6dKicTqdycnJUVFSk1atX65NPPtEjjzzi4yp946abbtK3334rSVq5cqVq1Kih7du367XXXlNGRoYmTZqk0aNH+7jKSjLwmaioKLN3794LbhMTE2Pef//9X6miquPbb7+t1PJb43Q6zbFjx6z1kpISM3bsWBMeHm7S09NNQUGB8fPz82GFvvHZZ5+ZVq1aWeslJSUmOjrafPnll1bbgQMHTHh4uA+qqxr+9a9/mTp16pjhw4ebgoICqz0iIuI3+f/SWX5+fsblchljjAkKCjLffPONV/+qVatMTEyML0rzuYceesiEhYWZiRMnmgULFpiJEyd69R88eNDUqFHDR9VdHEZ2fKhRo0Z6+umnz3tf+JVXXlFRUZHatm37K1fme506dVJ8fLzi4+PVsGHDCpff4u2a//mf/9FHH31krVerVk2TJk3S8uXL9eCDD2rMmDE+rM53mjZtqv3792vHjh2SzlyXtWvX6tprr7W2WblyperXr++rEn2uf//+ysrKUlFRkVq0aKGVK1f6uqQqwRijTZs2qbCwUPXq1St3q9PpdKqsrMxH1fnWlClT9PHHH2vlypUaNWqUli9f7nWn4b333lOrVq18WOFF8HXa+i3bvn27iY+PN9HR0aZ3795m5MiRZsyYMebOO+80jRs3NrVr1zbvvPOOr8v0idzcXJOUlGRmzZrl61KqlH//+98mKirKzJ07t1zf3r17TfPmzX+TIzvGGPPGG2+YmjVrmsWLF5frS01NNeHh4WbNmjU+qKzqWbt2rWnSpIkZMGCACQ0N/U2P7IwaNcrccMMNJjw83ISGhprExESrb/Hixeaqq64yDz/8sA8r9D2Px2Nmz55tatasaWrUqGH++Mc/mhtuuMFERESYTZs2+bq8SuENyj5WUlKi999/X1999ZVcLpecTqeioqKUmJioDh06/KZ/yPT7779XSkqK5s2bpwYNGvi6nCpj79692rlzp3r37l2ur7i4WKtXr1ZycrIPKvM9l8sll8tVbgTno48+UpMmTVSnTh0fVVb1uN1uPfHEE1qyZIk++eQTxcbG+roknzp9+rS2b9+urKws3XHHHZKkhx56SK1bt1b//v19XF3VcOrUKb355ps6dOiQ6tevr969eysqKsrXZVUKYQcAANgac3YAAICtEXYAAICtEXYAAICtEXYAAICtOX1dAABcrOuuu0779u1TSEhIhf0nTpxQjx499Nprr0mSjhw5ori4OOt9KXfffbdq166ttLQ0JSQkqKysTDVq1NCJEyeUkJCgdevW/WrnAuDyI+wAuOIEBATo6aef1uDBgyvsf/TRR60fRN2+fbtuueUWeTweXXPNNZLOhB8/Pz81aNBAAQEBeuGFF9S1a1ctXLhQr7/++q91GgB+JYQdAFcch8Ohv/3tb5o4cWKF/SdOnNCf//xnSVKLFi2UkZGhhg0bKjMzU9KZX/qOjo7W3XffrdmzZ3vt+1t+txVgV4QdAFccY0ylR3b8/PzkdDpVVFSk6667TpK0f/9+DR8+XE6nUw6HQyNGjFBoaKiOHz+uFi1a/FqnAeBXQtgBcMWJiYnRxIkTzzuyI0l9+/b1Wg8KCtKnn34qSV6/1OxwODRr1ix16dJFr776qpYvX35ZagbgO4QdAFecxYsXq7CwULVq1ZIkZWZmqrCwUO3atTvvPkVFRWrTpo2kM3N2Ro0aJenMzwScHf3x8+MBVcCOCDsArjjjxo3TBx98oC1btqhGjRpatGiRDhw4oMWLF0s6E2DKysoUGBho7RMUFOQ1Z+eskpISLV26VP/973+1efPmX/dEAPwqCDsArihr1qzRiy++qBo1aqhevXqSzvwAqsfj0XvvvSdJ8ng8Ki0t1XfffaegoCDrkfNznT59WsXFxTp58qTefPNNa15P+/btf9XzAXD5EXYAXDG2bt2qm2++WdOmTdOoUaPkcDgknZmQfPDgQS1cuNDa1uPxyM/PT0899ZReeeUVNW7c2LqNZYxRcXGxIiIidPToUX377beKi4vTwoULtWzZMh+cGYDLiRvUAK4YV199tebPn6+//OUvio6OVr169dSgQQM999xzWrZsmRo0aKC4uDjVqlXLulWVmpqqjz76SNdcc40+/PBDffDBB0pKStJXX32lhIQE1axZU/Xr1/fxmQG4nBjZAXDFCAgIUI8ePRQSEqIffvjBaq9oZMcYo8LCQgUFBWnUqFEKCgpSdHS0jDE6evSo7rnnHh08eFB/+ctfrBEiAPZE2AFwxdi5c6datmyp4OBgBQUFWe0ej0fSmUfSzyopKVFhYaFeeeUV5eTkaP369ZLOPGo+f/58Pfroo8rIyNDLL78sSdq8ebMWLlyouLi4X++EAPwqHMYY4+siAKAyjDHyeDwX/ZZjt9vt9WSWJGVnZ+urr77SrbfeKkk6ePCgnn76aY0ZM4bAA9gMYQcAANgaE5QBAICtEXYAAICtEXYAAICtEXYAAICtEXYAAICtEXYAAICtEXYAAICtEXYAAICt/T+RcvNN60+IowAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3.5星期几的点菜数量最多\n",
    "data['weekcount']=1\n",
    "data['weekday']=data['time'].map(lambda x:x.weekday())\n",
    "data.groupby(by='weekday').count()['weekcount'].plot(kind='bar')\n",
    "plt.title('点菜数量与星期的关系')\n",
    "plt.xlabel('星期')\n",
    "plt.ylabel('点菜数量')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "028228fd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
